Data-driven modeling of dislocation mobility from atomistics using physics-informed machine learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Data-driven modeling of dislocation mobility from atomistics using physics-informed machine learning ; volume:10 ; number:1 ; day:14 ; month:9 ; year:2024 ; pages:1-12 ; date:12.2024
npj computational materials ; 10, Heft 1 (14.9.2024), 1-12, 12.2024

Creator: Tian, Yifeng
Bagchi, Soumendu
Myhill, Liam
Po, Giacomo
Martinez, Enrique
Lin, Yen Ting
Mathew, Nithin
Perez, Danny

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41524-024-01394-4

URN: urn:nbn:de:101:1-2411282105018.061407593903

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:25 AM CEST

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Tian, Yifeng
Bagchi, Soumendu
Myhill, Liam
Po, Giacomo
Martinez, Enrique
Lin, Yen Ting
Mathew, Nithin
Perez, Danny
SpringerLink (Online service)

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Data-driven modeling of dislocation mobility from atomistics using physics-informed machine learning

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